We attempted to replicate the retriever results reported in [1]} with Pyserini, an IR toolkit that our group has been developing since 2019 [2]}.
The toolkit supports sparse retrieval (i.e., BM25) via integration with another toolkit called Anserini [3]}, which is built on Lucene.
Like in the original DPR work, Pyserini supports dense retrieval via integration with Facebook's Faiss library.
Combining dense and sparse retrieval, our toolkit supports hybrid retrieval as well.
